{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d1ae70e1-1354-4aa6-9dc4-73d3c7b016c5",
   "metadata": {},
   "source": [
    "# Baseline forecaster\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In forecasting modeling, a baseline serves as a basic, often simplistic model that acts as a fundamental reference for evaluating the performance of more complex models. It provides a baseline forecast using simple techniques that do not rely on sophisticated algorithms or extensive data analysis. Common examples of baseline strategies include:\n",
    "\n",
    "+ Last Observed Value: Uses the last observed value as a forecast for all future periods.\n",
    "\n",
    "+ Moving Average: In this technique, the average of the last few observations is calculated and used as a forecast for the next period. For example, a 3-period moving average would use the average of the last three observations.\n",
    "\n",
    "+ Last Equivalent Date (Seasonal Naive Forecasting): Extends the concept of the last observed value by considering the corresponding period in the previous season (e.g., the same working day from the previous week) as the forecast for the current period.\n",
    "\n",
    "The primary goal of establishing a baseline is to provide a benchmark against which the performance of more advanced predictive models can be evaluated. If the model does not outperform the baseline, it may indicate that there is a fundamental problem with the approach or that the added complexity is not justified by the available data. This underscores the importance of carefully evaluating the appropriateness of complex models relative to the simplicity and effectiveness of baseline models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ForecasterEquivalentDate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The <code>ForecasterEquivalentDate</code> class from `skforecast.recursive` allows the creation of a baseline forecast based on the concept of equivalent dates. In this context, an equivalent date is a historical date that has similar characteristics to the target date. The forecast for a given date is based on the value observed on the last *n* equivalent dates.\n",
    "    \n",
    "The behavior of the forecast is primarily controlled by two arguments:\n",
    "\n",
    "+ `offset`: This parameter determines how many steps back in time to go to find the most recent equivalent date for the target period. When given as an integer, `offset` represents the number of steps to go back in time. For example, if the frequency of the time series is daily, `offset = 7` means that the most recent data similar to the target period is the value observed 7 days ago. Additionally, it is possible to use [Pandas DateOffsets](https://pandas.pydata.org/docs/reference/offset_frequency.html) to move forward a given number of valid dates. For example, `Bday(2)` can be used to move back two business days.\n",
    "\n",
    "+ `n_offsets`: This parameter determines the number of equivalent dates to use in the prediction. If `n_offsets` is greater than 1, the values at the equivalent dates are aggregated using the specified aggregation function, `agg_func`. For example, if the frequency of the time series is daily, `offset = 7`, `n_offsets = 2`, and `agg_func = np.mean`, the predicted value will be the mean of the values observed 7 and 14 days ago."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\" name=\"html-admonition\" style=\"background: rgba(0,184,212,.1); padding-top: 0px; padding-bottom: 6px; border-radius: 8px; border-left: 8px solid #00b8d4; border-color: #00b8d4; padding-left: 10px; padding-right: 10px;\">\n",
    "\n",
    "<p class=\"title\">\n",
    "    <i style=\"font-size: 18px; color:#00b8d4;\"></i>\n",
    "    <b style=\"color: #00b8d4;\">&#9998 Note</b>\n",
    "</p>\n",
    "\n",
    "<code>ForecasterEquivalentDate</code> is designed to integrate seamlessly with other functionality offered by skforecast, such as backtesting. This makes it easy to obtain the baseline for a given period.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "77a4bb4b",
   "metadata": {},
   "source": [
    "## Libraries and data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d378f5ff-8092-49bb-80b7-8a3996d19fb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Libraries\n",
    "# ==============================================================================\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from skforecast.datasets import fetch_dataset\n",
    "from skforecast.recursive import ForecasterEquivalentDate\n",
    "from skforecast.model_selection import TimeSeriesFold\n",
    "from skforecast.model_selection import backtesting_forecaster\n",
    "from skforecast.plot import set_dark_theme\n",
    "from skforecast.plot import plot_prediction_intervals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0c0024f6-5d9b-4e0d-a332-dfb71280d7e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭──────────────────────────────── <span style=\"font-weight: bold\">fuel_consumption</span> ────────────────────────────────╮\n",
       "│ <span style=\"font-weight: bold\">Description:</span>                                                                     │\n",
       "│ Monthly fuel consumption in Spain from 1969-01-01 to 2022-08-01.                 │\n",
       "│                                                                                  │\n",
       "│ <span style=\"font-weight: bold\">Source:</span>                                                                          │\n",
       "│ Obtained from Corporación de Reservas Estratégicas de Productos Petrolíferos and │\n",
       "│ Corporación de Derecho Público tutelada por el Ministerio para la Transición     │\n",
       "│ Ecológica y el Reto Demográfico. https://www.cores.es/es/estadisticas            │\n",
       "│                                                                                  │\n",
       "│ <span style=\"font-weight: bold\">URL:</span>                                                                             │\n",
       "│ https://raw.githubusercontent.com/skforecast/skforecast-                         │\n",
       "│ datasets/main/data/consumos-combustibles-mensual.csv                             │\n",
       "│                                                                                  │\n",
       "│ <span style=\"font-weight: bold\">Shape:</span> 644 rows x 5 columns                                                      │\n",
       "╰──────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭──────────────────────────────── \u001b[1mfuel_consumption\u001b[0m ────────────────────────────────╮\n",
       "│ \u001b[1mDescription:\u001b[0m                                                                     │\n",
       "│ Monthly fuel consumption in Spain from 1969-01-01 to 2022-08-01.                 │\n",
       "│                                                                                  │\n",
       "│ \u001b[1mSource:\u001b[0m                                                                          │\n",
       "│ Obtained from Corporación de Reservas Estratégicas de Productos Petrolíferos and │\n",
       "│ Corporación de Derecho Público tutelada por el Ministerio para la Transición     │\n",
       "│ Ecológica y el Reto Demográfico. https://www.cores.es/es/estadisticas            │\n",
       "│                                                                                  │\n",
       "│ \u001b[1mURL:\u001b[0m                                                                             │\n",
       "│ https://raw.githubusercontent.com/skforecast/skforecast-                         │\n",
       "│ datasets/main/data/consumos-combustibles-mensual.csv                             │\n",
       "│                                                                                  │\n",
       "│ \u001b[1mShape:\u001b[0m 644 rows x 5 columns                                                      │\n",
       "╰──────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "date\n",
       "1969-01-01    166875.2129\n",
       "1969-02-01    155466.8105\n",
       "1969-03-01    184983.6699\n",
       "1969-04-01    202319.8164\n",
       "Freq: MS, Name: litters, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train dates : 1969-01-01 00:00:00 --- 1980-01-01 00:00:00  (n=133)\n",
      "Test dates  : 1980-02-01 00:00:00 --- 1985-01-01 00:00:00  (n=60)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Download data\n",
    "# ======================================================================================\n",
    "data = fetch_dataset('fuel_consumption')\n",
    "data = data.rename(columns={'Gasolinas': 'litters'})\n",
    "data.index.name = 'date'\n",
    "data = data.loc[:'1985-01-01 00:00:00', 'litters']\n",
    "display(data.head(4))\n",
    "\n",
    "# Train-test dates\n",
    "# ======================================================================================\n",
    "end_train = '1980-01-01 23:59:59'\n",
    "data_train = data.loc[:end_train]\n",
    "data_test  = data.loc[end_train:]\n",
    "\n",
    "print(f\"Train dates : {data_train.index.min()} --- {data_train.index.max()}  (n={len(data_train)})\")\n",
    "print(f\"Test dates  : {data_test.index.min()} --- {data_test.index.max()}  (n={len(data_test)})\")\n",
    "\n",
    "# Plot\n",
    "# ======================================================================================\n",
    "set_dark_theme()\n",
    "fig, ax = plt.subplots(figsize=(7, 3))\n",
    "data_train.plot(ax=ax, label='train')\n",
    "data_test.plot(ax=ax, label='test')\n",
    "ax.set_title('Monthly fuel consumption in Spain')\n",
    "ax.legend();"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9801a209-b601-4d9b-aa3c-a2e03df98c98",
   "metadata": {},
   "source": [
    "## Create and train forecaster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "349d1b95-5b16-4620-a46e-d595b4187ebe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        .container-c50822ec5bfc4b2bbdf6c8c4c6659695 a {\n",
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       "        .container-c50822ec5bfc4b2bbdf6c8c4c6659695 a:hover {\n",
       "            color: #359ccb; \n",
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       "    </style>\n",
       "    \n",
       "        <div class=\"container-c50822ec5bfc4b2bbdf6c8c4c6659695\">\n",
       "            <p style=\"font-size: 1.5em; font-weight: bold; margin-block-start: 0.83em; margin-block-end: 0.83em;\">ForecasterEquivalentDate</p>\n",
       "            <details open>\n",
       "                <summary>General Information</summary>\n",
       "                <ul>\n",
       "                    <li><strong>Estimator:</strong> NoneType</li>\n",
       "                    <li><strong>Offset:</strong> <DateOffset: months=12></li>\n",
       "                    <li><strong>Number of offsets:</strong> 2</li>\n",
       "                    <li><strong>Aggregation function:</strong> mean</li>\n",
       "                    <li><strong>Window size:</strong> 24</li>\n",
       "                    <li><strong>Creation date:</strong> 2025-11-26 15:05:41</li>\n",
       "                    <li><strong>Last fit date:</strong> 2025-11-26 15:05:41</li>\n",
       "                    <li><strong>Skforecast version:</strong> 0.19.0</li>\n",
       "                    <li><strong>Python version:</strong> 3.12.11</li>\n",
       "                    <li><strong>Forecaster id:</strong> None</li>\n",
       "                </ul>\n",
       "            </details>\n",
       "            <details>\n",
       "                <summary>Training Information</summary>\n",
       "                <ul>\n",
       "                    <li><strong>Training range:</strong> [Timestamp('1969-01-01 00:00:00'), Timestamp('1980-01-01 00:00:00')]</li>\n",
       "                    <li><strong>Training index type:</strong> DatetimeIndex</li>\n",
       "                    <li><strong>Training index frequency:</strong> <MonthBegin></li>\n",
       "                </ul>\n",
       "            </details>\n",
       "            <p>\n",
       "                <a href=\"https://skforecast.org/0.19.0/api/forecasterequivalentdate.html\">&#128712 <strong>API Reference</strong></a>\n",
       "                &nbsp;&nbsp;\n",
       "                <a href=\"https://skforecast.org/0.19.0/user_guides/forecasting-baseline.html\">&#128462 <strong>User Guide</strong></a>\n",
       "            </p>\n",
       "        </div>\n",
       "        "
      ],
      "text/plain": [
       "======================== \n",
       "ForecasterEquivalentDate \n",
       "======================== \n",
       "Offset: <DateOffset: months=12> \n",
       "Number of offsets: 2 \n",
       "Aggregation function: mean \n",
       "Window size: 24 \n",
       "Series name: litters \n",
       "Training range: [Timestamp('1969-01-01 00:00:00'), Timestamp('1980-01-01 00:00:00')] \n",
       "Training index type: DatetimeIndex \n",
       "Training index frequency: <MonthBegin> \n",
       "Creation date: 2025-11-26 15:05:41 \n",
       "Last fit date: 2025-11-26 15:05:41 \n",
       "Skforecast version: 0.19.0 \n",
       "Python version: 3.12.11 \n",
       "Forecaster id: None "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create and fit forecaster\n",
    "# ==============================================================================\n",
    "forecaster = ForecasterEquivalentDate(\n",
    "                 offset    = pd.DateOffset(months=12),\n",
    "                 n_offsets = 2,\n",
    "                 agg_func  = np.mean\n",
    "             )\n",
    "\n",
    "forecaster.fit(y=data_train)\n",
    "forecaster"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "733cef42-c7bf-42f8-8c3d-8471638599a4",
   "metadata": {},
   "source": [
    "## Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f1bdf4f8-b999-4d97-899c-fbcc2af7066a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1980-02-01    385298.35315\n",
       "1980-03-01    472815.89325\n",
       "1980-04-01    462944.81705\n",
       "Freq: MS, Name: pred, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predict\n",
    "# ==============================================================================\n",
    "predictions = forecaster.predict(steps=len(data_test))\n",
    "predictions.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b1b53f4b-be13-4e7b-bfdd-2cf0f3492452",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot predictions\n",
    "# ==============================================================================\n",
    "fig, ax = plt.subplots(figsize=(6, 3))\n",
    "data_train.plot(ax=ax, label='train')\n",
    "data_test.plot(ax=ax, label='test')\n",
    "predictions.plot(ax=ax, label='predictions')\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "92bce057-008e-462a-9c46-4557013783bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test error (mse): 446931887.96547604\n"
     ]
    }
   ],
   "source": [
    "# Prediction error\n",
    "# ==============================================================================\n",
    "error_mse = mean_squared_error(\n",
    "                y_true = data_test,\n",
    "                y_pred = predictions\n",
    "            )\n",
    "            \n",
    "print(f\"Test error (mse): {error_mse}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e346526",
   "metadata": {},
   "source": [
    "## Probabilistic forecasting\n",
    "\n",
    "Conformal prediction is a framework for constructing prediction intervals that are guaranteed to contain the true value with a specified probability (coverage probability). It works by combining the predictions of a point-forecasting model with its past residuals, differences between previous predictions and actual values. These residuals help estimate the uncertainty in the forecast and determine the width of the prediction interval that is then added to the point forecast.\n",
    "\n",
    "To learn more about conformal predictions in **skforecast**, visit the [Probabilistic Forecasting: Conformal Prediction](../user_guides/probabilistic-forecasting-conformal-prediction.html) user guide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cbb5226c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store in-sample residuals\n",
    "# ==============================================================================\n",
    "forecaster.set_in_sample_residuals(y=data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "09d166ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>lower_bound</th>\n",
       "      <th>upper_bound</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1980-02-01</th>\n",
       "      <td>385298.35315</td>\n",
       "      <td>334204.43875</td>\n",
       "      <td>436392.26755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-03-01</th>\n",
       "      <td>472815.89325</td>\n",
       "      <td>413163.96550</td>\n",
       "      <td>532467.82100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-04-01</th>\n",
       "      <td>462944.81705</td>\n",
       "      <td>403292.88930</td>\n",
       "      <td>522596.74480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-05-01</th>\n",
       "      <td>477889.17740</td>\n",
       "      <td>418237.24965</td>\n",
       "      <td>537541.10515</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    pred   lower_bound   upper_bound\n",
       "1980-02-01  385298.35315  334204.43875  436392.26755\n",
       "1980-03-01  472815.89325  413163.96550  532467.82100\n",
       "1980-04-01  462944.81705  403292.88930  522596.74480\n",
       "1980-05-01  477889.17740  418237.24965  537541.10515"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Prediction intervals\n",
    "# ==============================================================================\n",
    "predictions = forecaster.predict_interval(\n",
    "    steps                   = len(data_test),\n",
    "    interval                = [10, 90],  # 80% prediction interval\n",
    "    method                  = 'conformal',\n",
    "    use_in_sample_residuals = True\n",
    ")\n",
    "\n",
    "predictions.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7c3213d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot intervals\n",
    "# ==============================================================================\n",
    "plot_prediction_intervals(\n",
    "    predictions         = predictions,\n",
    "    y_true              = data_test,\n",
    "    target_variable     = \"litters\",\n",
    "    title               = \"Predicted intervals\",\n",
    "    kwargs_fill_between = {'color': 'gray', 'alpha': 0.4, 'zorder': 1}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "740a87cfe0d24281b8c7787f3827f338",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/4 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backtest error:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean_absolute_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18575.076906</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean_absolute_error\n",
       "0         18575.076906"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Backtesting\n",
    "# ==============================================================================\n",
    "cv = TimeSeriesFold(\n",
    "         steps              = 15,\n",
    "         initial_train_size = len(data_train),\n",
    "         refit              = True\n",
    "     )\n",
    "\n",
    "metric, predictions = backtesting_forecaster(\n",
    "                          forecaster = forecaster,\n",
    "                          y          = data,\n",
    "                          cv         = cv,\n",
    "                          metric     = 'mean_absolute_error'\n",
    "                      )\n",
    "\n",
    "print(\"Backtest error:\")\n",
    "metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a606f84f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fold</th>\n",
       "      <th>pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1980-02-01</th>\n",
       "      <td>0</td>\n",
       "      <td>385298.35315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-03-01</th>\n",
       "      <td>0</td>\n",
       "      <td>472815.89325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-04-01</th>\n",
       "      <td>0</td>\n",
       "      <td>462944.81705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-05-01</th>\n",
       "      <td>0</td>\n",
       "      <td>477889.17740</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fold          pred\n",
       "1980-02-01     0  385298.35315\n",
       "1980-03-01     0  472815.89325\n",
       "1980-04-01     0  462944.81705\n",
       "1980-05-01     0  477889.17740"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Backtesting predictions\n",
    "# ==============================================================================\n",
    "predictions.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot backtesting predictions\n",
    "# ==============================================================================\n",
    "fig, ax = plt.subplots(figsize=(6, 3))\n",
    "data_test.plot(ax=ax, label='test')\n",
    "predictions['pred'].plot(ax=ax, label='predictions')\n",
    "ax.legend();"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "skforecast_py12",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
